Your browser doesn't support javascript.
loading
Development of artificial neural networks software for arsenic adsorption from an aqueous environment.
Maurya, A K; Nagamani, M; Kang, Seung Won; Yeom, Jong-Taek; Hong, Jae-Keun; Sung, Hyokyung; Park, C H; Uma Maheshwera Reddy, Paturi; Reddy, N S.
Afiliação
  • Maurya AK; Advanced Metals Division, Titanium Department, Korea Institute of Materials Science, Changwon, 51508, South Korea; School of Materials Science and Engineering, Engineering Research Institute, Gyeongsang National University, Jinju, 52828, Republic of Korea.
  • Nagamani M; School of Computer and Information Sciences, University of Hyderabad, Gachibowli, Hyderabad, 500046, India.
  • Kang SW; Advanced Metals Division, Titanium Department, Korea Institute of Materials Science, Changwon, 51508, South Korea.
  • Yeom JT; Advanced Metals Division, Titanium Department, Korea Institute of Materials Science, Changwon, 51508, South Korea.
  • Hong JK; Advanced Metals Division, Titanium Department, Korea Institute of Materials Science, Changwon, 51508, South Korea.
  • Sung H; School of Materials Science and Engineering, Engineering Research Institute, Gyeongsang National University, Jinju, 52828, Republic of Korea.
  • Park CH; Advanced Metals Division, Titanium Department, Korea Institute of Materials Science, Changwon, 51508, South Korea. Electronic address: chanhee@kims.re.kr.
  • Uma Maheshwera Reddy P; Department of Mechanical Engineering, CVR College of Engineering, Hyderabad, Telangana, 501510, India.
  • Reddy NS; School of Materials Science and Engineering, Engineering Research Institute, Gyeongsang National University, Jinju, 52828, Republic of Korea. Electronic address: nsreddy@gnu.ac.kr.
Environ Res ; 203: 111846, 2022 01.
Article em En | MEDLINE | ID: mdl-34364860
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 12_ODS3_hazardous_contamination Base de dados: MEDLINE Assunto principal: Arsênio / Poluentes Químicos da Água Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Environ Res Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 12_ODS3_hazardous_contamination Base de dados: MEDLINE Assunto principal: Arsênio / Poluentes Químicos da Água Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Environ Res Ano de publicação: 2022 Tipo de documento: Article